Results for “point-in-time-recovery”

Packages an existing talking-head, interview, or podcast video with timed, designed graphic overlay cards—kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture—synced to the transcript, on a 16:9, 9:16, or 4:5 canvas.

通用时间抽象接口。当定义时间维度、时序关系、时间演化时调用此技能。

**Server Logs:**

Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.

Restore working context saved earlier by /context-save. Loads the most recent saved state (across all branches by default) so you can pick up where you left off — even across Conductor workspace handoffs. Use when asked to "resume", "restore context", "where was I", or "pick up where I left off". Pair with /context-save. Formerly /checkpoint resume — renamed because Claude Code treats /checkpoint as a native rewind alias in current environments. (gstack)

Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.

当感到生活失控、注意力分散，需要系统性重获专注力时

Use to recover a day in real time when volume, handle time or availability diverge from plan — reforecasting decisions, break moves, overtime, callbacks and skill flex without burning tomorrow. Trigger for "intraday management", "real-time reforecast", "we are underwater at 11am", move breaks or lunches, call people back in, flex agents between queues, ride out the spike, or when the WFM plan is wrong before close of business.

Time (afag-time)

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Time (adag-time)

Build comprehensive forensic super-timelines using Plaso (log2timeline) to correlate events across file systems, logs, and artifacts into a unified chronological view.

Autopsy a stuck project, extract salvageable artifacts, and route to a fresh start via $bootstrap-repo reset or new-repo bootstrap

Pattern for progressively refining context retrieval to solve the subagent context problem

Disaster recovery has exactly two quantitative inputs, and every architectural

Restore working context saved earlier by /context-save. (gstack)

Restores the project from a specified backup directory.

Executes structured recovery from a ransomware incident following NIST and CISA frameworks, including environment isolation, forensic evidence preservation, clean infrastructure rebuild, prioritized system restoration from verified backups, credential reset, and validation against re-infection.

Ingests case studies, past proposals, and boilerplate from library/inbox into structured indexes. Use when the user requests to 'index proposal library', 're-index case studies', 'ingest inbox docs', or 'validate library'.

Error Recovery Playbook

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Broker position reconciliation pattern for live trading systems

Reverse engineers stripped Go and Rust binaries by recovering runtime metadata, symbols, panic strings, and idiomatic decompilation patterns.

当需要进入高效学习、创作或问题解决的心流状态时，调用此模型作为环境与心理准备框架